Question

This quantity is maximized by weight vectors in a “canonical” method for analyzing this quantity. Separation indices accounting for measurement error are used in a “disattenuation” for this quantity. A term proportional to “one minus this quantity squared, all over 2n” is added to this quantity to obtain its “adjusted” form. (-5[1])One rank coefficient (-5[1])for this quantity is equal to [read slowly] “one minus twice the number of discordant pairs divided by n choose two.” This quantity for some X and Y is equal to their covariance divided by the product (10[1])of their (10[2])standard deviations. Pearson’s coefficient for this quantity (10[1])takes values between (10[1])negative 1 and 1 and is symbolized (10[1])r. For 10 points, name this statistical quantity that measures the relation (10[2])between two variables and is often mistaken with causation. ■END■ (10[1])

ANSWER: correlation [accept Pearsons’s correlation coefficient or Kendall’s correlation coefficient or rank correlation coefficient; accept correlation disattenuation or canonical correlation analysis; prompt on Pearson’s r; prompt on Kendall’s tau; reject “r-squared”]
<Other Science>
= Average correct buzz position

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Summary

2023 ACF Winter @ Columbia11/11/2023Y9100%0%22%106.33

Buzzes

PlayerTeamOpponentBuzz PositionValue
Srikar VenkatesanPenn BRutgers B50-5
Forrest WeintraubColumbia APenn A53-5
Aum MundheRutgers ANYU A9010
Dylan Epstein-Gross (DII)Princeton ARowan A9210
Richard NiuCornell CYale A9210
Thomas DoyleVassarHaverford9910
Jupiter DingPrinceton BYale C10210
Andrew MinagarYale BColumbia B10910
Omar MahmoodNYU BBard A12110
Anirudh BharadwajPenn AColumbia A12110
Simon EmmanuelRutgers BPenn B13110